The Nexus of Land Use, Livelihoods, and Ecosystem:
A Pathway to Sustainable Development in Char Kukri Mukri,
Bhola District, Bangladesh
Asmaul Husna Siddique | Md. Maksudur Rahman
Discipline: Environmental Science
Abstract:
Char Kukri Mukri, a coastal island in the southern part of Bangladesh, is highly
vulnerable to natural calamities and individualistic haphazard land use practices,
negatively impacting the overall ecosystem of this char. The study integrates these
challenges with livelihoods and aims to develop solutions for sustaining ecosystems,
land use, and livelihoods based on predicted land use. The study involves a
mixed-methodological approach, combining primary data (questionnaire surveys,
focus group discussions) and secondary data (satellite imageries of 2004 to 2024,
governmental and non-governmental data, journals etc.). Satellite data are
pre-processed, classified, and metricized based on 2004 and 2024, enabling the
creation and validation of LULC maps, as well as LULC prediction maps using the CA
-Markov Chain Model. Overall, the completion of the study involves usage of ArcMap
10.5, QGIS 3.34.11, IDRISI Selva, Google Earth Pro, Excel, and SPSS software. This
study reveals sharp expansion of built-up area alongside a decline in agricultural,
intertidal, barren, mangrove land and water bodies. CA-Markov analysis predicts
continuous urban growth at the expense of natural barrens, biodiversity, and
ecosystems. While ecosystem service value (ESV) increased slightly between 2004
and 2024 as the char became comparatively extensive and mature, while it is
predicted to decline by 2034 due to intensified land conversion, population pressure,
sea level rise and climate change. As over a million coastal char dwellers are
periodically affected by salinity, erosion, and cyclones that force them to migrate
multiple times in a single decade, different solutions, including mangrove restoration,
effective farming, livelihood diversification, and LULC planning, will ensure overall
sustainability in this alarming state.
References:
- Al Mamun, A., Islam, A. R. M. T., Alam, G. M. M., Sarker, M. N. I., Erdiaw-Kwasie, M. O., Bhandari, H., & Mallick, J. (2023). Livelihood vulnerability of char land communities to climate change and natural hazards in Bangladesh: An application of livelihood vulnerability index. Natural Hazards, 115, 1411–1437. https://doi.org/10.1007/s11069-022-05599-y
- Bangladesh Bureau of Statistics. (2022). Population and housing census 2022: Zila report – Bhola. Statistics and Informatics Division (SID), Ministry of Planning. http://www.bbs.gov.bd
- Barbosa Neves, B., & Baecker, R. (2022). Mixing methods and sciences: A longitudinal cross-disciplinary mixed methods study on technology to address social isolation and loneliness in later life. Journal of Mixed Methods Research, 16(1), 88–113. https://doi.org/10.1177/1558689820977646
- Baten, M. A., Khan, N. A., & Islam, S. M. (2018). Hazardous livelihoods in Bangladesh’s char areas: Seasonal unemployment, flooding, and market challenges. Natural Hazards, 92(1), 369–386.
- Brammer, H. (2014). Bangladesh’s dynamic coastal regions and sea-level rise. Climate Risk Management, 1, 51–62. https://doi.org/10.1016/j.crm.2013.10.001
- Cicin-Sain, B., & Knecht, R. W. (1998). Integrated coastal and ocean management: Concepts and practices. Island Press.
- Clark Labs. (2012). IDRISI Selva (Version 17.0) [Computer software]. Clark University. https://clarklabs.org
- Costanza, R., de Groot, R., Sutton, P., van der Ploeg, S., Anderson, S. J., Kubiszewski, I., Farber, S., & Turner, R. K. (2014). Changes in the global value of ecosystem services. Global Environmental Change, 26, 152–158. https://doi.org/10.1016/j.gloenvcha.2014.04.002
- Creswell, J. W. (2003). Mixed-method research: Introduction and application. In A. Tashakkori & C. Teddlie (Eds.), Handbook of mixed methods in social and behavioral research (pp. 455–471). Sage Publications.
- Eastman, J. R. (2006). IDRISI Andes tutorial: Guide to GIS and image processing. Clark Labs, Clark University.
- ESRI. (2016). ArcMap (Version 10.5) [Computer software]. Environmental Systems Research Institute. https://www.esri.com
- Foley, J. A., DeFries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R., Chapin, F. S., Coe, M. T., Daily, G. C., Gibbs, H. K., Helkowski, J. H., Holloway, T., Howard, E. A., Kucharik, C. J., Monfreda, C., Patz, J. A., Prentice, I. C., Ramankutty, N., & Snyder, P. K. (2005). Global consequences of land use. Science, 309(5734), 570–574. https://doi.org/10.1126/science.1111772
- Fu, X., Wang, X., & Yang, Y. J. (2018). Deriving suitability factors for CA-Markov land use simulation model based on local historical data. Journal of Environmental Management, 206, 10–19.
- Ghosh, T., Das, S., & Rahman, M. M. (2015). Mangrove ecosystems and their services: Coastal protection, carbon sequestration, and biodiversity conservation. Ocean and Coastal Management, 109, 25–34. https://doi.org/10.1016/j.ocecoaman.2015.02.003
- Green, M. J. B. (1990). IUCN directory of South Asian protected areas (1st ed., p. 15). IUCN Publication.
- Grimshaw, J. M., Thomas, R. E., MacLennan, G., Fraser, C., Ramsay, C. R., Vale, L., Whitty, P., Eccles, M., Matowe, L., Shirran, L., Wensing, M., Dijkstra, R., Donaldson, C., & O’Brien, M. A. (2004). Effectiveness and efficiency of guideline dissemination and implementation strategies. Health Technology Assessment, 8(6), 1–72. https://doi.org/10.3310/hta8060
- Hamad, R., Balzter, H., & Kolo, K. (2018). Predicting land use/land cover changes using a CA-Markov model under two different scenarios. Sustainability, 10(10), 3421.
- Hou, Y., & Wu, Z. (Eds.). (2023). Land use and livelihood change [Special issue]. Land. https://www.mdpi.com/journal/land/special_issues/land_livelihood
- Howell, C. R., Su, W., Nassel, A. F., Agne, A. A., & Cherrington, A. L. (2020). Area-based stratified random sampling using geospatial technology in a community-based survey. BMC Public Health, 20, 1–9.
- Iftekhar, M. S., & Islam, M. T. (2004). Managing mangroves in Bangladesh: A strategy analysis. Journal of Coastal Conservation, 10(1), 139–146. https://doi.org/10.1652/1400-0350(2004)010[0139:MMIBAS]2.0.CO;2
- Islam, M. S., & Hasan, N. (2018). Land use practices and rural economies: The role of agriculture, aquaculture, and deforestation in Bangladesh. Agricultural Systems, 164, 34–45. https://doi.org/10.1016/j.agsy.2018.02.002
- Kabir, A., Amin, M. N., Roy, K., & Hossain, M. S. (2021). Determinants of climate change adaptation strategies in the coastal zone of Bangladesh. Mitigation and Adaptation Strategies for Global Change, 26(7), 30. https://doi.org/10.1007/s11027-021-09968-z
- Karmaker, K., Hossain, M. I. S., Hamid, T., Rana, M. S., Bhuiyan, M. M. U., & Samad, M. A. (2025). Land use changes, morpho-dynamics, and future projections of Char Kukri Mukri Island in Bangladesh using remote sensing and machine learning. Regional Studies in Marine Science, 81, 103959. https://doi.org/10.1016/j.rsma.2024.103959
- Kauffman, J. B., & Donato, D. C. (2012). Protocols for the measurement, monitoring, and reporting of structure, biomass, and carbon stocks in mangrove forests. CIFOR. https://doi.org/10.17528/cifor/003749
- Koko, A. F., Yue, W., Abubakar, G. A., Hamed, R., & Alabsi, A. A. N. (2020). Monitoring and predicting spatio-temporal land use/land cover changes in Zaria City, Nigeria, through an integrated cellular automata and Markov chain model (CA-Markov). Sustainability, 12(24), 10452. https://doi.org/10.3390/su122410452
- Lee, S. Y., Primavera, J. H., Dahdouh-Guebas, F., McKee, K., Bosire, J. O., Cannicci, S., Diele, K., Fromard, F., Koedam, N., Marchand, C., Mendelssohn, I., Mukherjee, N., & Record, S. (2014). Ecological role and services of tropical mangrove ecosystems: A reassessment. Global Ecology and Biogeography, 23(7), 726–743. https://doi.org/10.1111/geb.12155
- Lu, D., & Weng, Q. (2007). A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing, 28(5), 823–870. https://doi.org/10.1080/01431160600746456
- Meyn, S. P., & Tweedie, R. L. (2012). Markov chains and stochastic stability. Springer.
- Mosa, T. A. S., Shimu, N. J., Chowdhury, K. M. A., Islam, M. M., & Ahmed, M. K. (2023). A comprehensive review on sustainable coastal zone management in Bangladesh: Present status and the way forward. Heliyon, 9(8), e18190. https://doi.org/10.1016/j.heliyon.2023.e18190
- Munns, R., & Gilliham, M. (2015). Salinity tolerance of crops – What is the cost? New Phytologist, 208(3), 668–683. https://doi.org/10.1111/nph.13519
- Nath, B., Wang, Z., Ge, Y., Islam, K., Singh, R. P., & Niu, Z. (2020). Land use and land cover change modeling and future potential landscape risk assessment using Markov-CA model and Analytical Hierarchy Process. ISPRS International Journal of Geo-Information, 9(2), Article 134. https://doi.org/10.3390/ijgi9020134
- Östlund, U., Kidd, L., Wengström, Y., & Rowa-Dewar, N. (2011). Combining qualitative and quantitative research within mixed method research designs: A methodological review. International Journal of Nursing Studies, 48(3), 369–383.
- Qadir, M., Boers, T. M., Schubert, S., Ghafoor, A., & Murtaza, G. (2003). Agricultural water management in water-starved countries: Challenges and opportunities. Agricultural Water Management, 62(3), 165–185. https://doi.org/10.1016/S0378-3774(03)00146-X
- QGIS Development Team. (2024). QGIS Geographic Information System (Version 3.34.11) [Computer software]. Open Source Geospatial Foundation. https://qgis.org
- Rahman, M., & Gain, P. (2020). Challenges of char communities in Bangladesh: Environmental and socio-economic vulnerabilities. Journal of Environmental Science and Policy, 50(2), 200–215. https://doi.org/10.1016/j.envsci.2020.02.005
- Rahman, M. S., Alam, S., & Islam, T. (2019). Degradation of mangrove ecosystems in Bangladesh: Causes and consequences. Environmental Science and Policy, 94, 120–135. https://doi.org/10.1016/j.envsci.2019.01.002
- Renaud, F. G., Sudmeier-Rieux, K., & Estrella, M. (Eds.). (2013). The role of ecosystems in disaster risk reduction. United Nations University Press.
- Rwanga, S. S., & Ndambuki, J. M. (2017). Accuracy assessment of land use/land cover classification using remote sensing and GIS. International Journal of Geosciences, 8(4), 611.
- Sarwar, M. G. M., & Woodroffe, C. D. (2013). Rates of shoreline change along the coast of Bangladesh. Journal of Coastal Conservation, 17(3), 515–526. https://doi.org/10.1007/s11852-013-0251-6
- Saroar, M., & Routray, J. K. (2012). Eco-tourism and integrated farming for livelihood resilience in char regions of Bangladesh. Environmental Management, 50(4), 631–644. https://doi.org/10.1007/s00267-012-9915-3
- Sorker, R., Khan, M. W., Kabir, A., & Nawar, N. (2023). Variations in ecosystem service value in response to land use changes in Dhaka and Gazipur districts of Bangladesh. Environmental Systems Research, 12, 32. https://doi.org/10.1186/s40068-023-00316-5
- Temmerman, S., Meire, P., Bouma, T. J., Herman, P. M. J., Ysebaert, T., & De Vriend, H. J. (2013). Ecosystem-based coastal defence in the face of global change. Nature, 504(7478), 79–83. https://doi.org/10.1038/nature12859
- Uddin, M. B., Steinbauer, M. J., Jentsch, A., Mukul, S. A., & Beierkuhnlein, C. (2013). Do environmental attributes, disturbances and protection regimes determine the distribution of exotic plant species in Bangladesh forest ecosystem? Forest Ecology and Management, 303, 72–80. https://doi.org/10.1016/j.foreco.2013.03.052
- Uddin, M. Z., & Abiabdullah, M. (2019). Char Kukri-Mukri: A pedological-edaphological study; Taxonomic study on the angiosperms of Char Kukri Mukri Wildlife Sanctuary, Bhola District. Journal of the Asiatic Society of Bangladesh, Science, 42(2), 1–14. https://doi.org/10.3329/jasbs.v42i2.46219
- World Weather Online. (2025). Char Kukri Mukri weather averages. https://www.worldweatheronline.com/char-kukuri-mukuri-weather-averages/bd.aspx
- Ye, B., & Bai, Z. (2007). Simulating land use/cover changes of Nenjiang County based on CA-Markov model. In International Conference on Computer and Computing Technologies in Agriculture (pp. 321–329). Springer.
- Zhang, F., Yushanjiang, A., & Jing, Y. (2019). Assessing and predicting changes of the ecosystem service values based on land use/cover change in Ebinur Lake Wetland National Nature Reserve, Xinjiang, China. Science of the Total Environment, 656, 1133–1144.
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